Abstract
The emergence of Musculo-Squelettal Disorders (MSD) in the industry is a real blight, having major socioeconomic consequences in France. In order to reduce work painfulness and MSD risks, some industries are committing to modifying workstations by assisting operators with robotic devices. Following this MSD prevention policy, PSA Peugeot Citroen aims to use cobots or exoskeletons as assistive devices to improve workers conditions. However, implementing this type of robot in factories requires quantifying their ergonomic benefit. In this context, the objective of this thesis is to develop a method to assess collaborative robot that are intended to be used in PSA Peugeot Citroen factories. In this framework, the right mono-arm ABLE exoskeleton, designed by the CEA-LIST has been used. With a biomechanical analysis of an industrial manipulation task, we have been able to assess the benefit of the exoskeleton in terms of physical load reduction. We also proposed in this work to assess neuromuscular mechanisms underlying the industrial task performed in interaction with the exoskeleton. On the basis of the human motor control theory and using an inverse optimisation method, objectives functions such as jerk, joint torque or energy that characterize the human manipulation task in terms of efforts, kinematics and execution time, have been identified. This improved understanding of human upper limb movements then allowed reviewing the exoskeleton design in order to propose an optimal command strategy adapted to the execution of industrial tasks.